US-based AngelEye Health has introduced AIVision, which incorporates computer vision and AI into neonatal intensive care unit (NICU) environments and paediatric unit settings.
By combining machine learning and bedside cameras, AIVision will enable intelligent clinical insights to provide clinical teams with proactive, data-driven insights to enhance care delivery.
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The company has already commenced its motion analysis algorithms testing within its existing camera infrastructure.
This development is part of a broader suite of screening and decision-support applications, which were expanded with the acquisition of the Early Detection Neuromotor Assessment (EDNA) platform last year.
The platform’s training of video models is expected to help identify neuromotor risk factors, facilitating earlier interventions once regulatory clearance is obtained.
At the NICU Leadership Forum hosted by Synova, AngleEye CEO Christopher Rand highlighted areas under active development in AIVision.
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By GlobalDataThese include video EEG synchronisation, AI-driven respiratory status monitoring, crash/coding event recording, AI-assisted pain and sedation insights, and emerging concepts, such as skin integrity monitoring and tube dislodgement detection.
Many of these technologies may require FDA approval before being clinically deployed.
With approximately 10,000 bedside cameras installed in more than 300 hospitals, AngelEye has an infrastructure that facilitates the rapid development of its AI models.
This extensive reach allows AIVision to improve through exposure to the real world, providing scalable value.
AngelEye medical technology manager Patrick Tinsley said: “By connecting our CameraSystem, feeding management software, and discharge coordination tools through a unified intelligence layer, we’re building the most comprehensive neonatal and paediatric AI platform in the industry.”
AngelEye is collaborating with partners, including a research and data collection project with Nationwide Children’s Hospital, to apply machine learning to longitudinal patient data and multimodal sensor data within a clinical paediatric setting.
In addition, a collaboration with NeuroBell aims to improve neurological monitoring at the bedside.
Last September, AngelEye Health unveiled its focus on expanding the capabilities of its NICU bedside camera systems.
